Jiehwan Yang
Data Scientist
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJiehwan Yang is a data scientist with 9 years of experience building production ML systems, data pipelines, and analytics at logistics and gaming companies. He blends MIS, CS, and statistics knowledge to deliver end-to-end solutions—from feature engineering and model development to deployment with MLflow, Docker, Airflow, and Kubernetes on Azure/GCP. At Coyote he improved pricing model accuracy by 36%, templatized model production to accelerate launches, and engineered a high-throughput pipeline ingesting 525M daily forecasts. He pairs strong engineering chops (Databricks/Spark, Terraform, CI/CD) with product-minded visualization and monitoring using Streamlit, Power BI, and ELK. Based in Austin and willing to relocate, he brings a track record of translating cross-functional stakeholder needs into reliable, scalable ML products. An early habit of automating manual reporting and search tools hints at a practical focus on reducing operational friction as much as improving model metrics.
9 years of coding experience
3 years of employment as a software developer
Visiting Student, Visiting Student at Seoul National UniversityBachelor’s Degree, Bachelor’s Degree at UMN Carlson School of Management
English, Korean
Github Skills (5)
shiny5
publish5
plumber4
rmarkdown3
jupyter3
Programming languages (1)
Github contributions (5)
jiehwan94/Seoul_Bike_EDA
Oct 2021 - Nov 2022
Contributions:39 commits, 38 pushes, 1 branch in 1 year 1 month
jiehwan94/Shiny_App_Technical_Analysis_on_US_Stock_Market
Dec 2018 - Jan 2022
Contributions:5 commits, 2 pushes, 1 branch in 3 years 1 month
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